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A fast handoff scheme for ieee 802.11 networks using software defined networking

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TLDR
A pre-scan based fast handoff scheme for SDN based WLAN system that can help STA obtain the best alternative AP in advance after the pre- scan process, and when the handoff is actually triggered, STA can perform the authentication and reassociation process toward the alternative AP directly.
Abstract
Due to the limited coverage range of access points (APs) and the mobility of stations (STAs), handoff occurs frequently in IEEE 802.11 wireless local area network (WLAN). However, traditional handoff mechanisms employed at STAs have inherent defects which make it hard to realize seamless handoff, it is a challenging issue for supporting seamless handoff service in WLAN. Extensions to Software Defined Networking (SDN) framework for WLAN could provide new solutions to address this issue. In this paper, we propose a pre-scan based fast handoff scheme for SDN based WLAN system. The proposed scheme can help STA obtain the best alternative AP in advance after the pre-scan process, and when the handoff is actually triggered, STA can perform the authentication and reassociation process toward the alternative AP directly. Moreover, we adopt Kalman filter to minimize the fluctuation of received signal strength (RSS), thus reducing the unnecessary pre-scan processes and handoffs. Simulation results show that the proposed scheme can effectively reduce the handoff delay.

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Citations
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Journal ArticleDOI

Artificial Intelligence-Based Handoff Management for Dense WLANs: A Deep Reinforcement Learning Approach

TL;DR: DCRQN is proposed, a novel handoff management scheme based on deep reinforcement learning, specifically deep $Q$ -network that enables the network to learn from actual users’ behaviors and network status from scratch, adapting its learning in time-varying dense WLANs.
Journal ArticleDOI

A Software Defined Wireless Networking Approach for Managing Handoff in IEEE 802.11 Networks

TL;DR: This study proposes a Software Defined Wireless Networking (SDWN) approach, in which a controller decides when to initiate the handoff process and chooses the AP the client’s device must connect, and the results have shown its efficiency by decreasing the handoffs delay and providing more stability to the process.
Proceedings ArticleDOI

Artificial Intelligence Based Handoff Management for Dense WLANs: A Deep Learning Approach

TL;DR: RNN-HM is presented, a novel handoff management scheme based on deep learning, specifically recurrent neural network (RNN), which enables the network to learn from the actual users' behaviors and the network status from the scratch.
Dissertation

Load-Aware Traffic Control in Software-Defined Enterprise Wireless Local Area Networks

Yunong Han
TL;DR: Experimental results from the testbed show that the designed system and algorithms significantly improve the performance of traffic control in enterprise WLANs in terms of network throughput, packet loss rate, transmission delay and jitter.
Proceedings ArticleDOI

A Dual-NIC Mutual Backup Solution of Access Point Handoff in SDN-based Mobile Networks

TL;DR: In this paper, a solution to AP handoff based on dual network interface controller (NIC) mutual backup (DNMB) is proposed, where the MT deploys dual-NIC to perform a kind of soft handoff on the link layer, and the SDN controller redirects the traffic to ensure the continuity of the services in the network layer.
References
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Journal ArticleDOI

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Journal ArticleDOI

An empirical analysis of the IEEE 802.11 MAC layer handoff process

TL;DR: This paper presents an empirical study of this handoff process at the link layer, with a detailed breakup of the latency into various components, showing that a MAC layer function - probe is the primary contributor to the overall handoff latency.
Proceedings ArticleDOI

SyncScan: practical fast handoff for 802.11 infrastructure networks

TL;DR: SyncScan is described, a low-cost technique for continuously tracking nearby base stations by synchronizing short listening periods at the client with periodic transmissions from each base station and it is demonstrated that it allows better handoff decisions and over an order of magnitude improvement in handoff delay.
Proceedings ArticleDOI

Towards programmable enterprise WLANS with Odin

TL;DR: Odin, an SDN framework to introduce programmability in enterprise wireless local area networks (WLANs), builds on a light virtual AP abstraction that greatly simplifies client management and supports WPA2 Enterprise.
Journal ArticleDOI

OpenRoads: empowering research in mobile networks

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